Ecosyste.ms: Awesome
An open API service indexing awesome lists of open source software.
https://github.com/apuravdivekar2032/real-estate-price-prediction
A real estate price prediction website developed using Python with Numpy and Pandas for data cleaning Matplotlib for data visualization and scikit-learn for model building, featuring a Flask server to handle HTTP requests and integrates a user-friendly UI built with HTML, CSS, and JavaScript
https://github.com/apuravdivekar2032/real-estate-price-prediction
flask html-css-javascript jupyter-notebook matplotlib numpy pandas pycharm python3 sklearn vscode
Last synced: 23 days ago
JSON representation
A real estate price prediction website developed using Python with Numpy and Pandas for data cleaning Matplotlib for data visualization and scikit-learn for model building, featuring a Flask server to handle HTTP requests and integrates a user-friendly UI built with HTML, CSS, and JavaScript
- Host: GitHub
- URL: https://github.com/apuravdivekar2032/real-estate-price-prediction
- Owner: ApuravDivekar2032
- Created: 2024-09-08T11:41:26.000Z (4 months ago)
- Default Branch: main
- Last Pushed: 2024-11-21T03:34:07.000Z (about 2 months ago)
- Last Synced: 2024-11-21T04:24:59.432Z (about 2 months ago)
- Topics: flask, html-css-javascript, jupyter-notebook, matplotlib, numpy, pandas, pycharm, python3, sklearn, vscode
- Language: Python
- Homepage: https://real-estate-price-prediction-inky.vercel.app
- Size: 19.5 MB
- Stars: 0
- Watchers: 2
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
Awesome Lists containing this project
README
# Real Estate Price Prediction
A real estate price prediction website developed using Python with Numpy and Pandas for data cleaning, Matplotlib for data visualization and scikit-learn for model building, featuring a Flask server to handle HTTP requests. The website integrates a user-friendly UI built with HTML, CSS, and JavaScript, allowing users to input property details and receive accurate price predictions. The project covers key data science techniques such as data cleaning, outlier detection, feature engineering etc..
## Acknowledgements
- **Codebasics**: For providing exceptional tutorials and guidance through their YouTube channel, which were instrumental in completing this project
## Screenshots
![Screenshot1](https://github.com/ApuravDivekar2032/Real-Estate-Price-Prediction/blob/main/Screenshot%20(665).png)
![Screenshot2](https://github.com/ApuravDivekar2032/Real-Estate-Price-Prediction/blob/main/Screenshot%20(666).png)
![Screenshot3](https://github.com/ApuravDivekar2032/Real-Estate-Price-Prediction/blob/main/Screenshot%20(667).png)
![Screenshot4](https://github.com/ApuravDivekar2032/Real-Estate-Price-Prediction/blob/main/Screenshot%20(668).png)
![Screenshot5](https://github.com/ApuravDivekar2032/Real-Estate-Price-Prediction/blob/main/Screenshot%20(669).png)
![Screenshot6](https://github.com/ApuravDivekar2032/Real-Estate-Price-Prediction/blob/main/Screenshot%20(671).png)